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07). Table 3 Prediction of helping intention from individual competence and social influence factors (N?=?549). The regression model was able to predict a significant proportion of variance in helping intention for both male and female participants Rmales2=0.61,Rfemales2=0.42 (Table ?(Table4).4). For females, peer influence (��?=?0.11, p?Talazoparib manufacturer competence and social influence variables were used to predict prosocial behavior, the regression model was able to predict a significant proportion of variance in prosocial behavior (R2?=?0.28) (Table ?(Table5).5). The three social influence variables, peer (��?=?0.18, p?binedaline p??0.05). Table 5 Prediction of prosocial behavior from individual competence and social influence factors (N?=?580). For male participants, the regression model was able to predict a significant proportion of variance in prosocial behavior (F?=?15.73, p??0.05). Table 6 Prediction of prosocial behavior from individual competence and social influence factors for males and females. For female participants, the regression Dabrafenib molecular weight model was able to predict a significant proportion of variance in prosocial behavior (F? =?27.90, p??0.05). Discussion Predictors of helping intention and prosocial behavior In this study, researchers found that there was no major issues with multi-collinearity as the figures of VIF of all predictors were